Skip to main content
International Journal of Environmental Research and Public Health logoLink to International Journal of Environmental Research and Public Health
. 2019 Oct 4;16(19):3749. doi: 10.3390/ijerph16193749

Regulatory Policies for Alcohol, other Psychoactive Substances and Addictive Behaviours: The Role of Level of Use and Potency. A Systematic Review

Jürgen Rehm 1,2,3,4,5,6,7,*, Jean-François Crépault 1,3, Omer SM Hasan 1,3, Dirk W Lachenmeier 8, Robin Room 9,10, Bundit Sornpaisarn 1
PMCID: PMC6801613  PMID: 31590298

Abstract

The object of this contribution based on a systematic review of the literature is to examine to what degree the level of use and potency play a role in regulatory policies for alcohol, other psychoactive substances and gambling, and whether there is an evidence base for this role. Level of use is usually defined around a behavioural pattern of the user (for example, cigarettes smoked per day, or average ethanol use in grams per day), while potency is defined as a property or characteristic of the substance. For all substances examined (alcohol, tobacco, opioids, cannabis) and gambling, both dimensions were taken into consideration in the formulation of most regulatory policies. However, the associations between both dimensions and regulatory policies were not systematic, and not always based on evidence. Future improvements are suggested.

Keywords: alcohol, policy, regulation, tobacco, opioids, cannabis, gambling, potency, use disorders

1. Introduction

In contemporary society, the use of psychoactive substances is controlled—by regulating or prohibiting them [1]—because of their substantial public health impact [2,3,4]. Part of this impact is due to the addictive potential of these substances [5,6]. This contribution will analyse the policies used to regulate substance use ([1], specifically for alcohol [7], tobacco [8], and illegal drugs: [9]), focussing on the roles of level of use and potency underlying such regulations. In doing so, we realize that regulations are clearly not based on only these two dimensions, nor do we make a judgement that they should be. The objective of this contribution is rather to examine to what degree the level of use and potency play a role in regulatory policies, and if there is an evidence base for this role. We will introduce these concepts in more detail below, but level of use is usually defined around a behavioural pattern of the user (see also Table 1 first row below), while potency is defined as a property or characteristic of the substance.

Table 1.

Level of use and potency in the regulation of psychoactive substances and addictive behaviours.

ALCOHOL TOBACCO PRODUCTS OPIOIDS CANNABIS GAMBLING
Unit measured to define “heavy use over time” in epidemiology gram ethanol ( = pure alcohol)/day cigarettes/day (as rough indicator of level of nicotine intake) frequency of use joints per day/week average money spent per day [90]
Measure of potency of psychoactive “ingredient” ethanol concentration nicotine concentration; other addictive additives opioid concentration (i.e., morphine equivalents [22]) THC concentration potential for average losses per minute [89]
Other impacts on the potency (psychoactive ingredient) Speed of delivery [18,91], food (absorption [92]; elimination [93]); tolerance; other individual factors (sex, age, body, weight [94]) Diverse factors according to delivery mode (e.g., holes for air to enter); speed of delivery [38]; individual factors Speed of delivery, which can be manipulated by mode of administration, and which impacts on bioavailability and on onset of action [95]; tolerance [96]; other individual factors Diverse factors, depending in part on mode of delivery; level of other cannabinoids [97] tolerance; other individual factors. Reward parameters (e.g., jackpot size), timing parameters (e.g., speed of play, event frequency) [89,98]
Is the level of the psychoactive ingredient a guiding principle for regulation In most jurisdictions, yes: taxation and drink-driving policies based on grams of ethanol [30,31] and blood alcohol content [57], respectively Not yet in most countries, as light products are usually not differently taxed or treated by law. However, there are efforts to limit potency by law (e.g., for the US: [99,100]). Only in part relevant for illegal opioids. Some jurisdictions have been banning (or refusing to allow) prescription opioids deemed to be high-risk due to potency but also formulation (e.g., short-acting, crushable, or otherwise easily manipulated). E.g., in 2016, Ontario de-listed several higher-strength opioids from the Ontario Drug Benefit formulary [101]. On the other hand, low potency products (e.g., codeine) are sometimes exempt from prescriptions. Not relevant for illegal cannabis. In Canada, legal cannabis products were initially taxed per gram (i.e., no potency considerations). Dried cannabis and seeds are still taxed this way but oils are now taxed by THC content. The classes or products being permitted in 2019 (edibles, extracts and topicals) will also be taxed by quantity of THC [102]. There are regulations on
1) maximum spend per hour, day (e.g., [24] for the Netherlands), with sometimes distinctions on where the gambling takes place; or on the 2) maximum that can be spent by bet (e.g., the UK implemented, as of April 2019, £2 bet limits on certain EGMs (more or less equivalent to slot machines [103])).
In additions, restrictions based on location are possible based on potency (e.g., high potency for casinos only [24]).
Can direct short-term effects be lethal? Yes, in some jurisdiction alcohol poisoning is a major cause of death (e.g., Russia [104]). Yes, but such cases are rare [105]. Yes, in some jurisdictions opioid overdose is a major cause of death (USA [106]; Canada [107]). No, not with plant-based cannabis. However, synthetic cannabinoids can be lethal [108]. No
Are there different subcategories of psychoactive substances/devices? Yes: beer, cider, mixed drinks, wine, fortified wine, spirits (e.g., for a distribution of main beverage types by country, region, and globally [26]). Yes: the Tobacco Framework Convention defines tobacco products as “products entirely or partly made of the leaf tobacco as raw material which are manufactured to be used for smoking, sucking, chewing or snuffing” [109]; new products considered are “Heated tobacco products” or “electronic nicotine delivery systems”, the latter not a tobacco product [110]. Yes: based on two dimensions. First, there are illegal and medicinal products. Second, there are different categories of opioids such as codeine, fentanyl, heroin, morphine. Yes: based on two dimensions. First, there are illegal and medicinal products; and in select jurisdictions legal recreational products. Second, there are different categories of cannabis such as smokable or edible products Yes: e.g., casino gambling without electronic gambling machines (EGMs); EGMs; lotteries; Internet gambling; horse racing and other betting on animal contests [111]. Regulation is mainly concerned with commercial gambling.
Do subcategories differ in potency? Yes Not necessarily; some of the electronic nicotine delivery systems have higher potency [112]. Different opioids (e.g., fentanyl, heroin, codeine) differ in potency; however, the distinction between illegal and medicinal products is not relevant, as both subcategories can have different potencies. Both illegal and medicinal products can have different potencies, so this distinction is not relevant for potency; however, different plants and types of cannabis differ in potency. In addition, synthetic cannabinoids can have higher potency [113]. Yes
Evidence for justifying different regulations for different subcategories based on addictive potential For causing alcohol use disorders: weak evidence for differentiating subcategories [63]. All product classes may lead to tobacco use disorders based on nicotine concentration and the device used. All categories of opioids may lead to opioid use disorders, depending on different factors including potency [114,115,116]. Both illegal and medicinal cannabis may lead to cannabis use disorders, depending on different factors including potency [117,118]. Yes, electronic gambling machines were associated with higher risk of gambling addiction as defined by ICD ([89,119] but [120])
Evidence for justifying different regulations for different subcategories based on overall harm More potent forms of alcohol such as spirits were associated with more unintentional and intentional injury [63,71,72]. While in the underlying epidemiological research, patterns of drinking often were not controlled for, experimental research also showed that spirits led to higher blood ethanol concentration and psychomotor impairment, even if the overall ethanol intake was the same [63,71]. There are differences in overall harm of different tobacco products and of electronic nicotine delivery systems [121,122]. The reason for these differences can be explained by the fact that many other ingredients of cigarettes and other tobacco products over and above nicotine impact on morbidity and mortality [123]. In other words, while nicotine has been linked to morbidity and mortality [123,124,125,126], even cigarettes without nicotine would have markedly detrimental health effects. Health harm, especially overdoses, seems to be mainly based on dose, which is linked to potency ([37], but see [127]), not on the distinction between medicinal and other products. The recent fentanyl crisis in North America certainly has been linked to high potency of this opioid, its synthetic analogues and other synthetic opioids [128,129]. Obviously, legal problems as a form of harm by definition only apply to illegal products. No indication that medicinal products have less health harm; obviously, legal problems as a form of harm are only relevant for illegal products. Synthetic cannabinoids may cause higher harm [113]. Overall, while cannabis use can cause health harm [82], the level of this burden is much lower than for other substances [3,130]), even when considering prevalence of use [131]. Certain structural characteristics of EGMs have been identified as strongly associated with harm, including high speed of play, losses disguised as wins, near misses, and features that give the user the illusion of control [132].
Evidence on harm to others (see also [133] as overview of harm to others from substance use) Considerable harm to others (highest of all substances in the comparative study of [134]), in part linked to patterns of drinking (traffic injury, FASD; [135]) and maybe to potency (violence and other injury [63,71]). Considerable health harm to others, mainly known for cigarette smoking [136]. Considerable harm to others via needle sharing (infectious disease; [137] and traffic injury [138]). Harm to others via traffic injury [139]. Yes, but lesser degree than substance use, mainly to families and immediate environment, and no fatal outcomes [24]

Level of use has long been identified as an important variable for regulatory policies, as burden of disease in general, and use disorders in particular, are linked to level of use in a dose-response fashion (e.g., see the risk curves for alcohol [10] or tobacco use [3]). In fact, heavy use over time has been suggested as a definition for substance use disorders [11] that avoids some of the pitfalls of current definitions in the DSM-5 and ICD-11 [12,13]. Potency is a term often used in pharmacology where it refers to pharmacological action (active strength) expressed in terms of the amount required to produce an effect of a given intensity [14]. In general, a highly potent drug evokes a given response at low concentrations, while a drug of lower potency evokes the same response only at higher concentrations. However, the literature clearly points out the need for more operational definitions [14,15].

Potency of substances alternatively could be defined via the internal biochemical processes they provoke, e.g., in the dopamine reward system [16]. However, such definitions have run into difficulties, as has been demonstrated in experiments in which rats given a lever choice between cocaine and sucrose administration, they reliably opt for sucrose, even if they are “cocaine addicted” [16,17].

Applying these principles to a drug like alcohol, this means that if ethanol (i.e., pure alcohol) is the active ingredient, then the ethanol concentration denotes the potency of an alcoholic beverage. Consider the onset of reduced psychomotor coordination, one of the psychoactive effects of ethanol, as the outcome, where one UK unit of alcohol (8 g ethanol) may be enough to provoke the effect for a certain body weight [18]. This effect then could result from either 25 mL of 40% whiskey or 250 mL of 4% beer or 76 mL of 13% wine [19]. These calculations assume that the effect is only based on ethanol intake and is independent of the beverage category, an assumption that is questioned and discussed below.

Potency with respect to other substances can equally be defined by the concentration of the active ingredient linked to psychoactive effects [20], i.e., nicotine for tobacco [21], opioids for opium and its natural, synthetic, and semi-synthetic derivatives, e.g., morphine, heroin, oxycodone or fentanyl (with concentration being measured in morphine equivalents [22]), and Δ9-tetrahydrocannabinol (THC) in cannabis [23].

The objective of this contribution is to discuss the implications of level of use and potency for the regulation of psychoactive substances. We will do this in the most detail for alcohol, but compare these policies with those for the four other most prevalent psychoactive substances, which also caused the most attributable harm [3]. Finally, we will examine whether the same principles extend to gambling. Gambling was selected here as gambling disorders have been introduced to both major classification systems in the same category as substance use disorders [12,13]. Additionally, gambling has been an object of regulation in virtually every society [24].

Thus, our analytic framework has been adopted to examine whether regulatory policies linked to different substances and gambling modalities could be derived from the same principles.

2. Material and Methods

In addition to studying the major textbooks on public health policy and governance for psychoactive substances and gambling [1,2,7,8,9,24,25] and WHO materials collecting survey responses from member states on policies [26,27,28,29,30,31,32], we did a search for reviews and meta-analyses of regulatory policies for the different substance categories and for gambling, and on the role of potency in regulatory policies (see Supplementary Materials Table S1 for search terms). Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed [33] (see Supplementary Materials Figure S1). Results only allowed a qualitative analysis of results.

3. Results

There was a surprisingly small number of relevant references in the systematic search [34,35,36,37,38,39,40,41,42,43,44]. For the most part, these sources discuss high-income countries in North America and Europe, and for that reason those are the regions we focus on here.

3.1. Alcohol

For alcohol, the following results can be extracted. As indicated above, the main psychoactive ingredient is ethanol [45], with both short-term and long-term effects on cognition [46] and the central nervous system in general [18]. Impairment of psychomotor coordination, as described above, is one of the short-term effects [18].

However, ethanol’s effects are not restricted to its psychoactive effects; it also acts as a carcinogen [47], disturbs the innate and adaptive immune system [48], and damages multiple organs [49], contributing to more than 200 disease and injury categories [10]. Possible long-term effects of ethanol include development of alcohol use disorders or other non-communicable diseases [50]. One of ethanol’s effects is that it increases the risk of certain cancers (in part via its metabolites such as acetaldehyde), an effect over and above the carcinogenic effects of other ingredients of alcoholic beverages [10,47,51]. Usually, there are monotonic dose-response curves between level of alcohol use and disease risk [45]. Accordingly, the epidemiological indicator for heavy drinking [11] or to measure success of therapies for alcohol use disorders [52] is the level of consumption in grams of ethanol consumed per day.

Some of the regulatory policies for alcohol are based on this measure (see [26] for an overview of alcohol control policy measures by country). Taxation of alcoholic beverages is often based on grams of ethanol, in that beverages containing more ethanol are charged more tax for the same volume (so-called volumetric taxation [30,31]). Any minimum unit pricing [53] which is solely based on ethanol (i.e., not specific for beverage type), also falls into this category (e.g., the minimum unit pricing in Scotland [54], Russia [55], or in the Canadian province of Manitoba [56]). Finally, most drink-driving laws are based on ethanol concentration in blood [57]. Other alcohol control measures are independent of how much the consumer uses, such as most of the availability restrictions (e.g., opening hours for shops selling alcoholic beverages).

How does potency come into play? Alcohol policy regulations in many instances are not based on ethanol directly, but on beverage type, or bands of alcohol content as indicators of potency. First, in taxation there are beverage-specific minimum prices in some jurisdictions (e.g., in Canadian provinces [58,59]), and in many jurisdictions the tax rate depends on the beverage type, over and above the ethanol content. For example, in Ontario, Canada, the ad valorem tax rate is 6.1% of the beverage price for wine [58] and 61.5% for spirits [59], a 10-fold difference, when the ethanol content only varies by a factor of less than four (i.e., spirits on average 40%; wine on average 12.5% [58]). In California, the specific tax rates are 0.40 $/gallon of ethanol for beer, 0.36 $/gallon for wine, and 1.63 $/gallon for spirits [60]. In Thailand, the specific tax rates are $430 THB/litre of ethanol for beer, $1500 THB/litre for wine, and $155 THB/litre for spirits [61]. These few examples may suffice to show that while taxation often is beverage-specific, there are no clear principles that any beverage type is taxed over and above ethanol content. For example, in Thailand other considerations such as preventing initiation of alcohol use in youth by taxing the most preferred beverages for this group have played, and continue to play, a role [62].

There are also beverage-specific laws for minimum drinking age (e.g., many Western Central European countries such as Belgium, Germany, or Switzerland: 16 years for beer and wine, 18 years for spirits; all references from [26]); for other forms of availability (only sales of light beer in Sweden in corner stores; sales of beer and wine in private stores in Ontario), or for advertisement and marketing (e.g., Spain bans TV advertisements from 7:00–19:00, and in cinemas and in social media for alcoholic beverages with more than 22% ethanol only [26]. According to the Global Status Report on Alcohol Policy published in 2004, 28.6% of the countries had totally banned spirits advertisement, while 22.5% had banned wine advertisement and 15.9% had banned beer advertisement [28].

Are these alcohol policy regulations consistent with evidence that alcohol of different strengths has differential impact on harm, independent of overall ethanol consumed? First, for development of an alcohol use disorder, there is no good evidence that different beverage types have a different pathway to use disorders. Rehm and Hasan in their systematic review [63] found only weak evidence for this. Danish researchers presented a cohort study [64] where the incidence of alcohol use disorders was lower for those whose total alcohol intake was comprised of more than 35% wine, independent of the total amount of alcohol consumed. On the other hand, preferred beverage type in persons treated for alcohol use disorders seems to depend mostly on the culture [65,66]: in France in the 1970s, the majority of people with alcohol use disorders consumed predominantly wine as the beverage type as it was the main one available [67,68]; in beer-drinking countries [65,69], the majority has been shown to predominantly consume beer; and in a country where all three beverage types were almost equally available, a study found almost equal distribution of beverage preference among people with alcohol dependence [70]. Other factors include patterns of drinking and gender [63]. A prior review [71] did not focus on alcohol use disorders, but found similar results: based on North American literature, criteria used in the diagnoses of alcohol use disorders (loss of control, continued use despite harmful consequences) were mainly impacted by beer, the preferred beverage type in North America.

There is more evidence on other forms of harm related to different beverages [63,71,72]. More potent forms of alcohol, such as spirits, were associated with more acute harm caused by injury, either unintentional (e.g., traffic injury) or intentional (e.g., suicide or violence). This of course is true for spirits consumed “straight” and not as a mixed drink with non-alcoholic beverages, or for premixed drinks based on spirits. While in the underlying epidemiological research patterns of drinking were not controlled, experimental research has shown that spirits lead to higher blood ethanol concentration and psychomotor impairment, even though the overall ethanol intake is the same [63,71]. The neurobiological impairment is in part correlated with the speed of intake [18], and the same amount of ethanol can be ingested more rapidly in beverages with higher ethanol concentration.

Thus, there is some justification in the differential regulatory treatment of different beverages beyond considering the overall ethanol level [63,71,72]. This may be especially relevant for youth [73], where impact on the brain is largest [74], especially from binge drinking [75], and where unintentional and intentional injury are the leading causes of death [76]. In addition, an important regulatory strategy for alcohol seems to be to decrease the potency within beverage classes which can be achieved by progressively taxing ethanol concentration, thereby creating incentives for manufacturers to reduce the average ethanol concentration of all beverages (e.g., decreasing the average strength by 20% of each main beverage type: beer to 4%, wine to 10%; spirits to 32% [36,77]). For spirits, there is also the possibility to impose an upper limit on potency [73].

3.2. Other Substances and Gambling

Table 1 gives an overview of the features of different forms of psychoactive substances, their active ingredients, potency, regulations and outcomes. Obviously, we can only give specific policies for jurisdictions where a form of the substance in question is legal. Alcoholic beverages are prohibited in several countries, often for religious reasons [26]. Bhutan seems to be the only country where all tobacco products are banned from sale and distribution, although use of imported tobacco products may be legal in certain places such as hotels [78]. The non-medical use of opioids is illegal in almost all countries based on international treaties (Single Convention and the Convention on Psychotropic Substances), which most countries have ratified [79,80] although medical use is in principle allowed. Cannabis is governed by the same treaties, but some countries have chosen not to respect the treaties for this specific substance. For instance, Canada claims that their violation of international treaties for cannabis is consistent with the overarching goal of these conventions—namely, to protect the health and welfare of society [81].

Overall, for those jurisdictions with regulations and policies for at least some of the subcategories, the following can be said: (1) There are some regulations purely based on volumetric considerations, such as taxation by ethanol content, or by number of cigarettes or grams of cannabis. (2) Many of the regulations differ substantially for different potencies of the same substance class. (3) Short-term lethal consequences (overdose/poisoning) are a major consideration in regulating substance potency, especially in regions where they constitute a major cause of death (e.g., in Russia for alcohol or for opioids in North America). (4) Tobacco use is a special case, as most of the overall level of burden of disease is not linked to the psychoactive ingredient (nicotine). This has caused some controversy in regulatory handling devices and subcategories of tobacco products, where risks other than nicotine are reduced (e.g., [42]). (5) With few exceptions, cannabis use was handled internationally via prohibition [79,80], scheduling it together with substances with much higher potency and higher risk for mortality and other burden of disease (see Table 1).

Still, regulatory policies often seem to be based on risk for use disorders or other considerations, rather than on overall impact on burden of disease. It should be noted that for all substances, the psychoactive ingredients have health impacts on aother organs besides the brain (for alcohol see above, for nicotine: [43]; for opioids: [37]; for cannabis: [34,82]).

Do similar considerations apply for gambling? Like substance use, gambling has a high public health impact [24,83] and is potentially addictive [84,85], and gambling behaviour is also regulated, in many times and places by prohibition [24]. As for the addictive potential, this is defined by sets of criteria similar to those for substance use disorders, such as loss of control, increasing priority given to gambling, and continuation or escalation of gambling despite negative consequences [86].

Potency in gambling has been defined by the effect the device or activity has on the person ([87,88] see also [16]), i.e., a particular gambling modality leads to shifts of subjective experience in the gambler. And the more reliably, quickly, and robustly these shifts occur, the more potent the gambling modality becomes. Accordingly, we could define potency of gambling by the potential for average losses per minute [89]. For an overview of modalities, impact and regulations please see Table 1.

4. Discussion

Level of use and potency were found to be associated with regulatory policies, but not in a consistent manner. What could be the overarching principle for a more consistent approach? Often it has been argued that there should be a general principle that policies and governance should be commensurate to the overall harm [133] or at least to substance- or gambling-attributable burden of disease [1,140,141].

As an example, consider regulations for tobacco products including nicotine delivery systems that are alternatives to cigarettes, which in many jurisdictions are regulated similarly for all forms and subcategories, even though there are notable differences in harm [121,122]. As a justification for regulating alternative nicotine delivery systems similarly to cigarettes, two lines of argument are often used: first, that these systems are as addictive (i.e., leading to use disorders) as cigarettes, and second, that such systems may be the “gateway” to later cigarette smoking. Clearly, the first argument is not relevant: use disorders are only one of many different health outcomes attributable to tobacco use or alternative nicotine delivery systems, and others such as cancer or cardiovascular disease surely should and do weigh more, when a comparative statistic is used such as disability-adjusted life years [142]. The second argument may be true in certain situations, i.e., when cigarette smoking in jurisdictions is a cheaper way to obtain nicotine. For heavy users, often the cheapest way to obtain a given amount of the psychoactive substance is chosen, and this may be illegal substances, as the switch to cheaper unrecorded or surrogate alcohol in Russian people with alcohol use disorders shows ([143] for a more general overview [144,145]), or the switch from prescription opioids to cheaper street heroin or fentanyl in people with opioid use disorders in North America [146,147]. This suggests that the shift from less harmful alternative nicotine delivery systems to cigarettes could be avoided if such a shift were associated with a higher cost per unit of nicotine.

Another point to be further discussed is the overall governance of substances and gambling. As mentioned before, one reasonable principle could be that all regulations and restrictions should be commensurate to overall harm [1]. This would require a single dimension for harm, and such dimension does not exist. To give but two examples: how should the harm of a risk of criminalization for using a substance be compared to the harm of an increased risk for mortality? These harms are quite different, and there is no standard way to compare them to one another. The second example would be to compare harm to the user with harm to others (e.g., [136,148]). Would one death caused in a user (e.g., via driving under the influence of a substance) be the same as one death caused to another (e.g., killing another traffic participant under the influence of a substance)? Clearly, legislators usually prioritise harm to others over harm to the user/behaver in criminal law. While it is easy to indicate, with respect to potential harm as a criterion for control legislation, that the level of regulations should be commensurate to the level of harm, the devil will be in the details of measuring both the level of regulation and the level of harm. And expert groups doing multi-criteria analyses of harm will always be controversial (e.g., [149]).

Why are level of use and potency so relevant for regulations? From an evolutionary perspective, substance use has been part of human evolution from its early stages, but with industrial production and refined technology, previously unknown availability and potency of substances—as well as more efficient delivery mechanisms such as the hypodermic needle [150]—emerged which could not easily be coped with [1,151]. These impacts continue to the present days when it has become easy to produce high potency opioids synthetically, when potency of cannabis can be increased beyond what has been usually found in cannabis plants, or when manufacturers of EGMs have devised faster and more immersive machines [89].

Before we outline conclusions, we will note the limitations of our research. First, as in any review, we are limited by the underlying literature. Overall, there have not been that many empirical examinations of principles underlying regulatory policies and regulations for substance use and/or behavioural addictions. Second, the link between level of use, potency and health harm needs to be better explored. Third, as all substance use and gambling imply potential harm to others (see Table 1), we will need to clarify what role this harm should play in formulating regulations. For instance, regulations for driving under the influence of prescribed substances differ heavily between countries (e.g., driving under the influence of cannabis or opioids), and there seems to be no apparent reason why in one country traffic injury impacted by prescribed medication is an offense, whereas in other countries this is not the case.

5. Conclusions

More research is necessary on the differential effects of level of use and potency on health and other harm, but current regulatory policies for substance use and gambling are often not in line with currently available evidence of harm.

Acknowledgments

We would like to thank Astrid Otto for referencing and copy-editing.

Supplementary Materials

The following are available online at https://www.mdpi.com/1660-4601/16/19/3749/s1, Figure S1: PRISMA flow-chart on selection of relevant reviews, Table S1: Search strategy.

Author Contributions

Conceptualization: J.R. and J.-F.C.; methodology: J.R., R.R., J.-F.C.; software: not applicable, validation: J.-F.C., J.R., B.S., D.W.L., and R.R.; formal analysis: O.S.M.H. and J.R.; investigation: all authors; resources: CAMH, see funders; data curation: not applicable; writing—original draft preparation: J.R.; writing—review and editing: all authors; visualization: not applicable; supervision: J.R.; project administration: J.R.; funding acquisition: J.R. and R.R.

Funding

J.R. acknowledges funding from the Canadian Institutes of Health Research, Institute of Neurosciences, Mental Health and Addiction (Canadian Research Initiative in Substance Misuse (CRISM) Ontario Node grant number SMN-13950). R.R. acknowledges funding from the Foundation for Alcohol Research and Education (Australia) and the Swedish Council for Health, Working Life and Welfare (FORTE). The funding parties had no role in any aspect of the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  • 1.Anderson P., Braddick F., Conrod P., Gual A., Hellman M., Matrai S., Miller D., Nutt D., Rehm J., Reynolds J., et al. The New Governance of Addictive Substances and Behaviours. Oxford University Press; Oxford, UK: 2017. [Google Scholar]
  • 2.Anderson P., Rehm J., Room R. The Impact of Addictive Substances and Behaviours on Individual and Societal Well-Being. Oxford University Press; Oxford, UK: 2015. [Google Scholar]
  • 3.GBD 2017 Risk Factors Collaborators Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1923–1994. doi: 10.1016/S0140-6736(18)32225-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.The Health Officers Council of British Columbia Public Health Perspectives for Regulating Psychoactive Substances: What We Can Do About Alcohol, Tobacco, and Other Drugs. [(accessed on 16 August 2019)]; Available online: https://healthofficerscouncil.files.wordpress.com/2012/12/regulated-models-v8-final.pdf.
  • 5.U.S. Department of Health and Human Services (HHS), Office of the Surgeon General . Facing Addiction in America: The Surgeon General’s Report on Alcohol, Drugs, and Health. U.S. Department of Health and Human Services (HHS); Washington, DC, USA: 2016. [PubMed] [Google Scholar]
  • 6.Room R. Addiction concepts and international control. Soc. Hist. Alcohol Drugs. 2006;21:276–289. [PubMed] [Google Scholar]
  • 7.Babor T., Caetano R., Casswell S., Edwards G., Giesbrecht N., Graham K., Grube J., Hill L., Holder H., Homel R., et al. Alcohol: No Ordinary Commodity; Research and Public Policy. 2nd ed. Oxford University Press; Oxford, UK: 2010. [Google Scholar]
  • 8.Levy D.T., Chaloupka F., Gitchell J. The effects of tobacco control policies on smoking rates: A tobacco control scorecard. J. Public Health Manag. Pract. 2004;10:338–353. doi: 10.1097/00124784-200407000-00011. [DOI] [PubMed] [Google Scholar]
  • 9.Babor T., Caulkins J., Fischer B., Foxcroft D., Humphreys K., Medina-Mora M.E., Obot I.S., Rehm J., Reuter P., Room R., et al. Drug Policy and the Public Good. 2nd ed. Oxford University Press; Oxford, UK: 2018. [Google Scholar]
  • 10.Rehm J., Gmel Sr G.E., Gmel G., Hasan O.S.M., Imtiaz S., Popova S., Probst C., Roerecke M., Room R., Samokhvalov A.V., et al. The relationship between different dimensions of alcohol use and the burden of disease—An update. Addiction. 2017;112:968–1001. doi: 10.1111/add.13757. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Rehm J., Marmet S., Anderson P., Gual A., Kraus L., Nutt D.J., Room R., Samokhvalov A.V., Scafato E., Trapencieris M., et al. Defining substance use disorders: Do we really need more than heavy use? Alcohol. 2013;48:633–640. doi: 10.1093/alcalc/agt127. [DOI] [PubMed] [Google Scholar]
  • 12.Carvalho A.F., Heilig M., Perez A., Probst C., Rehm J. Alcohol use disorders. Lancet. 2019;394:781–792. doi: 10.1016/S0140-6736(19)31775-1. [DOI] [PubMed] [Google Scholar]
  • 13.Rehm J., Heilig M., Gual A. ICD-11 for alcohol use disorders: Not a convincing answer to the challenges. Alcoholism Clinic. Experiment. Res. 2019 doi: 10.1111/acer.14182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Burgis E. Intensivkurs. Allgemeine und Spezielle Pharmakologie. 4th ed. Elsevier Urban & Fischer; München, Germany: 2008. [Google Scholar]
  • 15.Lachenmeier D.W., Steffen C., el-Atma O., Maixner S., Löbell-Behrends S., Kohl-Himmelseher M. What is a food and what is a medicinal product in the European Union? Use of the benchmark dose (BMD) methodology to define a threshold for “pharmacological action”. Regulat. Toxicol. Pharmacol. 2012;64:286–295. doi: 10.1016/j.yrtph.2012.08.017. [DOI] [PubMed] [Google Scholar]
  • 16.Clark L. Disordered gambling: The evolving concept of behavioral addiction. Ann. NY Acad. Sci. 2014;1327:46–61. doi: 10.1111/nyas.12558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Olsen C.M. Natural rewards, neuroplasticity, and non-drug addictions. Neuropharmacology. 2011;61:1109–1122. doi: 10.1016/j.neuropharm.2011.03.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Eckardt M., File S., Gessa G., Grant K., Guerri C., Hoffman P., Kalant H., Koob G.F., Li T.K., Tabakoff B. Effects of moderate alcohol consumption on the central nervous system. Alcoholism Clinic. Experiment. Res. 1998;22:998–1040. doi: 10.1111/j.1530-0277.1998.tb03695.x. [DOI] [PubMed] [Google Scholar]
  • 19.Drinkaware What is an Alcohol Unit? [(accessed on 16 August 2019)]; Available online: https://www.drinkaware.co.uk/alcohol-facts/alcoholic-drinks-units/what-is-an-alcohol-unit/
  • 20.World Health Organization Management of Substance Abuse: Psychoactive Substances. [(accessed on 19 August 2019)]; Available online: https://www.who.int/substance_abuse/terminology/psychoactive_substances/en/
  • 21.NHS Why is smoking addictive? [(accessed on 9 August 2019)]; Available online: https://www.nhs.uk/common-health-questions/lifestyle/why-is-smoking-addictive/
  • 22.Stone A.B., Urman R.D., Kaye A.D., Grant M.C. Labeling Morphine Milligram Equivalents on Opioid Packaging: A Potential Patient Safety Intervention. Curr. Pain Headache Rep. 2018;22:46. doi: 10.1007/s11916-018-0695-3. [DOI] [PubMed] [Google Scholar]
  • 23.Lucas C.J., Galettis P., Schneider J. The pharmacokinetics and the pharmacodynamics of cannabinoids. Br. J. Clin. Pharmacol. 2018;84:2477–2482. doi: 10.1111/bcp.13710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Sulkunen P.J., Babor T.F., Cisneros Ornberg J., Egerer M.D., Hellman C.M.E., Livingstone C., Marionneau V., Nikkinen J., Orford J., Room R., et al. Setting Limits: Gambling, Science and Public Policy. Oxford University Press; Oxford, UK: 2018. [DOI] [PubMed] [Google Scholar]
  • 25.Ysa T., Colom J., Albareda A., Carrión M., Segura L. Governance of Addictions—European Public Policies. Oxford University Press; Oxford, UK: 2014. [Google Scholar]
  • 26.World Health Organization Global Status Report on Alcohol and Health 2018. [(accessed on 1 July 2019)]; Available online: https://www.who.int/substance_abuse/publications/global_alcohol_report/en/
  • 27.World Health Organization Global Status Report on Alcohol and Health 2014. [(accessed on 22 August 2019)]; Available online: https://www.who.int/substance_abuse/publications/alcohol_2014/en/
  • 28.World Health Organization . Global Status Report: Alcohol Policy. WHO; Geneva, Switzerland: 2004. [Google Scholar]
  • 29.World Health Organization European Region . Alcohol Consumption, Harm and Policy Responses in 30 European Countries in 2016. World Health Organization European Region; Copenhagen, Denmark: 2019. [Google Scholar]
  • 30.Sornpaisarn B., Shield K.D., Österberg E., Rehm J. Resource Tool on Alcohol Taxation and Pricing Policies. World Health Organization; Geneva, Switzerland: 2017. [Google Scholar]
  • 31.World Health Organization Global Strategy to Reduce the Harmful Use of Alcohol: Implementation Toolkit. [(accessed on 7 August 2019)]; Available online: https://apps.who.int/iris/bitstream/handle/10665/44395/9789241599931_eng.pdf.
  • 32.World Health Organization . WHO Report on the Global Tobacco Epidemic 2019. WHO; Geneva, Switzerland: 2019. [Google Scholar]
  • 33.PRISMA . Welcome to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Website. PRISMA; Ottawa, ON, Canada: 2015. [(accessed on 9 August 2019)]. Available online: http://prisma-statement.org/ [Google Scholar]
  • 34.Glass M., Ashton J.C. What is medicinal cannabis? N. Z. Med. J. 2019;132:49–56. [PubMed] [Google Scholar]
  • 35.Siegfried N., Parry C. Do alcohol control policies work? An umbrella review and quality assessment of systematic reviews of alcohol control interventions (2006–2017) PLoS ONE. 2019;14:e0214865. doi: 10.1371/journal.pone.0214865. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Anderson P., Gual A., Rehm J. Reducing the health risks derived from exposure to addictive substances. Curr. Opin. Psychiatr. 2018;31:333–341. doi: 10.1097/YCO.0000000000000432. [DOI] [PubMed] [Google Scholar]
  • 37.Coyle D.T., Pratt C.Y., Ocran-Appiah J., Secora A., Kornegay C., Staffa J. Opioid analgesic dose and the risk of misuse, overdose, and death: A narrative review. Pharmacoepidemiol. Drug Saf. 2018;27:464–472. doi: 10.1002/pds.4366. [DOI] [PubMed] [Google Scholar]
  • 38.McNeill A., Robson D. A man before his time: Russell’s insights into nicotine, smoking, treatment and curbing the smoking problem. Addiction. 2018;113:759–763. doi: 10.1111/add.14043. [DOI] [PubMed] [Google Scholar]
  • 39.Wilson N., Jones A.C., Nghiem N., Blakely T. Preventing cardiovascular disease in New Zealand: Making better use of statins but also tobacco control, changing the food supply and other strategies. N. Z. Med. J. 2018;131:61–67. [PubMed] [Google Scholar]
  • 40.Beaudoin F.L., Banerjee G.N., Mello M.J. State-level and system-level opioid prescribing policies: The impact on provider practices and overdose deaths, a systematic review. J. Opioid. Manag. 2016;12:109–118. doi: 10.5055/jom.2016.0322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Manchikanti L., Atluri S., Candido K.D., Boswell M.V., Simopoulos T.T., Grider J.S., Falco F.J., Hirsch J.A. Zohydro approval by food and drug administration: Controversial or frightening? Pain Physician. 2014;17:E437–E450. [PubMed] [Google Scholar]
  • 42.Rahman M.A., Hann N., Wilson A., Worrall-Carter L. Electronic cigarettes: Patterns of use, health effects, use in smoking cessation and regulatory issues. Tob. Induc. Dis. 2014;12:21. doi: 10.1186/1617-9625-12-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Dome P., Lazary J., Kalapos M.P., Rihmer Z. Smoking, nicotine and neuropsychiatric disorders. Neurosci. Biobehav. Rev. 2010;34:295–342. doi: 10.1016/j.neubiorev.2009.07.013. [DOI] [PubMed] [Google Scholar]
  • 44.Morden N.E., Zerzan J.T., Rue T.C., Heagerty P.J., Roughead E.E., Soumerai S.B., Ross-Degnan D., Sullivan S.D. Medicaid prior authorization and controlled-release oxycodone. Med. Care. 2008;46:573–580. doi: 10.1097/MLR.0b013e31816493fb. [DOI] [PubMed] [Google Scholar]
  • 45.Rehm J., Sherk A., Shield K.D., Gmel G. Risk Relations Between Alcohol Use and Non-Injury Causes of Death. [(accessed on 21 August 2019)]; Available online: https://www.camh.ca/-/media/files/pdfs---reports-and-books---research/camh-risk-relations-between-alcohol-use-and-non-injury-causes-of-death-sept2017-pdf.pdf?la=en&hash=393C0B60D26A218F2512C39C1B61EFCE0FCC5128.
  • 46.Field M., Schoenmakers T., Wiers R.W. Cognitive processes in alcohol binges: A review and research agenda. Curr. Drug Abus. Rev. 2008;1:263–279. doi: 10.2174/1874473710801030263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Pflaum T., Hausler T., Baumung C., Ackermann S., Kuballa T., Rehm J., Lachenmeier D.W. Carcinogenic compounds in alcoholic beverages: An update. Arch. Toxicol. 2016;90:2349–2367. doi: 10.1007/s00204-016-1770-3. [DOI] [PubMed] [Google Scholar]
  • 48.Barr T., Helms C., Grant K., Messaoudi I. Opposing effects of alcohol on the immune system. Prog. Neuropsychopharmacol. Biol. Psychiatr. 2016;65:242–251. doi: 10.1016/j.pnpbp.2015.09.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.National Institute on Alcohol Abuse and Alcoholism (NIH) Alcohol’s Effect on Organ Function. [(accessed on 21 August 2019)]; Available online: https://pubs.niaaa.nih.gov/publications/arh21-1/toc21-1.htm.
  • 50.Rehm J., Hasan O.S.M., Imtiaz S., Probst C., Roerecke M., Shield K.D. Alcohol and Noncommunicable Disease Risk. Curr. Addict. Rep. 2018;5:72–85. doi: 10.1007/s40429-018-0189-8. [DOI] [Google Scholar]
  • 51.Lachenmeier D.W., Kanteres F., Rehm J. Carcinogenicity of acetaldehyde in alcoholic beverages: Risk assessment outside ethanol metabolism. Addiction. 2009;104:533–550. doi: 10.1111/j.1360-0443.2009.02516.x. [DOI] [PubMed] [Google Scholar]
  • 52.European Medicines Agency Guideline on the Development of Medicinal Products for the Treatment of Alcohol Dependence. [(accessed on 16 February 2019)]; Available online: https://www.ema.europa.eu/documents/scientific-guideline/guideline-development-medicinal-products-treatment-alcohol-dependence_en.pdf.
  • 53.Boniface S., Scannell J.W., Marlow S. Evidence for the effectiveness of minimum pricing of alcohol: A systematic review and assessment using the Bradford Hill criteria for causality. BMJ Open. 2017;7:e013497. doi: 10.1136/bmjopen-2016-013497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Alcohol Focus Scotland Minimum Pricing. Glasgow. [(accessed on 13 August 2019)]; Available online: https://www.alcohol-focus-scotland.org.uk/campaigns-policy/minimum-pricing/
  • 55.Consultant.ru Prikaz rosalkogol’regulirovaniya ot 21.09.2015 N 283 “Ob ustanovlenii tseny, ne nizhe kotoroy osushchestvlyayutsya zakupka (za isklyucheniyem importa), postavki (za isklyucheniyem eksporta) etilovogo spirta, proizvedennogo iz pishchevogo syr’ya [Order of the Federal Service for Alcohol Market Regulation from 21 of September 2015 N 283 “On setting a minimum price for procurement (except for import) and supply (except for export) of ethyl alcohol made from raw food materials” (Registered in the Ministry of Justice of Russia on 07.10.2015 No. 39168)] [(accessed on 13 August 2019)]; Available online: http://www.consultant.ru/document/cons_doc_LAW_187150/
  • 56.Stockwell T. Strategies to Reduce Alcohol-Related Harms and Costs in Canada: A Review of Provincial, Territorial, and Federal Policies. [(accessed on 13 August 2019)]; Available online: https://www.uvic.ca/research/centres/cisur/assets/docs/presentation-cape-webinar-en.pdf.
  • 57.Araujo M., Illanes E., Chapman E., Rodrigues E. Effectiveness of interventions to prevent motorcycle injuries: Systematic review of the literature. Int. J. Inj. Contr. Saf. Promot. 2017;24:406–422. doi: 10.1080/17457300.2016.1224901. [DOI] [PubMed] [Google Scholar]
  • 58.Ontario Ministry of Finance Beer and Wine Tax. [(accessed on 9 August 2019)];2019 Available online: https://www.fin.gov.on.ca/en/tax/bwt/index.html.
  • 59.Ontario Ministry of Finance Spirits Taxes. [(accessed on 9 August 2019)];2019 Available online: https://www.fin.gov.on.ca/en/tax/st/index.html.
  • 60.Cammenga J. How High are Beer Taxes in your State? [(accessed on 9 August 2019)];2019 Available online: https://taxfoundation.org/state-beer-taxes-2019/
  • 61.Ministerial Regulation (Thailand) Excise Tax Rate Determination. Ministerial Regulation; Bangkok, Thailand: 2017. Rule Number 134; Section 95. [Google Scholar]
  • 62.Sornpaisarn B., Shield K.D., Rehm J. Alcohol taxation policy in Thailand: Implications for other low- to middle-income countries. Addiction. 2012;107:1372–1384. doi: 10.1111/j.1360-0443.2011.03681.x. [DOI] [PubMed] [Google Scholar]
  • 63.Rehm J., Hasan O.S.M. Is burden of disease differentially linked to spirits? A systematic scoping review and implications for alcohol policy. Alcohol. 2019 doi: 10.1016/j.alcohol.2019.06.005. [DOI] [PubMed] [Google Scholar]
  • 64.Flensborg-Madsen T., Knop J., Mortensen E.L., Becker U., Makhija N., Sher L., Gronbaek M. Beverage preference and risk of alcohol-use disorders: A Danish prospective cohort study. J. Stud. Alcohol Drugs. 2008;69:371–377. doi: 10.15288/jsad.2008.69.371. [DOI] [PubMed] [Google Scholar]
  • 65.Dawson D.A. Drinking patterns among individuals with and without DSM-IV alcohol use disorders. J. Stud. Alcohol. 2000;61:111–120. doi: 10.15288/jsa.2000.61.111. [DOI] [PubMed] [Google Scholar]
  • 66.Wallgren H. On the Relationship of the Consumption of Alcoholic Beverages to the Genesis of Alcoholic Disorders. Alkon Keskuslaboratorio; Helsinki, Finland: 1970. Report 7378. [Google Scholar]
  • 67.Babor T.F., Massanes P., Ferrant J.P. Enquete sur le type, la frequence et l’ordre chronologique d’apparition des symptomes de l’alcoolisme. La Revue de l’Alcoolisme. 1972;18:23–36. [Google Scholar]
  • 68.Babor T.F., McCabe T.R., Masanes P., Ferrant J.P. Patterns of alcoholism in France and America: A comparative study. In: Chafetz M.E., editor. Alcoholism: A Multilevel Problem. U.S. Government Printing Office; Washington, DC, USA: 1974. pp. 113–127. [Google Scholar]
  • 69.Popham R.E., Schmidt W., de Lint J. The prevention of alcoholism: Epidemiological studies of the effects of government control measures. Br. J. Addict. Alcohol Other Drugs. 1975;70:125–144. doi: 10.1111/j.1360-0443.1975.tb00017.x. [DOI] [PubMed] [Google Scholar]
  • 70.Gual A., Lligoña A., Colom J. Five-year outcome in alcohol dependence. A naturalistic study of 850 patients in Catalonia. Alcohol Alcoholism. 1999;34:183–192. doi: 10.1093/alcalc/34.2.183. [DOI] [PubMed] [Google Scholar]
  • 71.Smart R.G. Behavioral and social consequences related to the consumption of different beverage types. J. Stud. Alcohol. 1996;57:77–84. doi: 10.15288/jsa.1996.57.77. [DOI] [PubMed] [Google Scholar]
  • 72.Mäkelä P., Mustonen H., Österberg E. Does beverage type matter? Nord. Stud. Alcohol Drugs. 2007;24:617–631. doi: 10.1177/145507250702400607. [DOI] [Google Scholar]
  • 73.Substance Abuse and Mental Health Services Administration (SAMHSA) Report to Congress on the Prevention and Reduction of Underage Drinking. High-Proof Grain Alcoholic Beverages. Washington, DC, USA. [(accessed on 20 August 2019)];2017 Available online: https://mediasvr.saa.icfcloud.com/ReportToCongress/2017/profile_summaries/24_high_proof_grain_alcoholic_beverages.pdf.
  • 74.Meruelo A.D., Castro N., Cota C.I., Tapert S.F. Cannabis and alcohol use, and the developing brain. Behav. Brain Res. 2017;325:44–50. doi: 10.1016/j.bbr.2017.02.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Ewing S.W., Sakhardande A., Blakemore S.J. The effect of alcohol consumption on the adolescent brain: A systematic review of MRI and fMRI studies of alcohol-using youth. Neuroimag. Clin. 2014;5:420–437. doi: 10.1016/j.nicl.2014.06.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Institute for Health Metrics and Evaluation GHDx: GBD Results Tool. [(accessed on 22 July 2019)];2019 Available online: http://ghdx.healthdata.org/gbd-results-tool.
  • 77.Rehm J., Lachenmeier D.W., Llopis E.J., Imtiaz S., Anderson P. Evidence of reducing ethanol content in beverages to reduce harmful use of alcohol. Lancet Gastroenterol. Hepatol. 2016;1:78–83. doi: 10.1016/S2468-1253(16)30013-9. [DOI] [PubMed] [Google Scholar]
  • 78.Tobacco Control Laws Legislation by Country: Bhutan. [(accessed on 13 August 2019)]; Available online: https://www.tobaccocontrollaws.org/legislation/country/bhutan/summary.
  • 79.United Nations Office on Drugs and Crime (UNODC) Single Convention on Narcotic Drugs. [(accessed on 13 August 2019)];1961 Available online: https://www.unodc.org/unodc/en/treaties/single-convention.html.
  • 80.United Nations Office on Drugs and Crime (UNODC) Convention on Psychotropic Substances. [(accessed on 13 August 2019)];1971 Available online: https://www.unodc.org/unodc/en/treaties/psychotropics.html.
  • 81.Parliament of Canada/Senate of Canada The Standing Senate Committee on Foreign Affairs and International Trade Evidence. [(accessed on 13 August 2019)];2018 Available online: https://sencanada.ca/en/Content/Sen/Committee/421/AEFA/54008-e.
  • 82.National Academies of Sciences Engineering and Medicine . The Health Effects of Cannabis and Cannabinoids: The Current State of Evidence and Recommendations for Research. The National Academies Press; Washington, DC, USA: 2017. [PubMed] [Google Scholar]
  • 83.Shaffer H.J., Korn D.A. Gambling and related mental disorders: A public health analysis. Annu. Rev. Public Health. 2002;23:171–212. doi: 10.1146/annurev.publhealth.23.100901.140532. [DOI] [PubMed] [Google Scholar]
  • 84.World Health Organization ICD-11 for Mortality and Morbidity Statistics: Disorders due to substance use or addictive behaviours. [(accessed on 13 August 2019)];2019 Available online: https://icd.who.int/browse11/l-m/en#/http%3a%2f%2fid.who.int%2ficd%2fentity%2f1602669465.
  • 85.American Psychiatric Association . Diagnostic and Statistical Manual of Mental Disorders. 5th ed. American Psychiatric Association; Philadelphia, PN, USA: 2013. [Google Scholar]
  • 86.World Health Organization ICD-11 for Mortality and Morbidity Statistics: 6C50.0 Gambling disorder, predominantly offline. [(accessed on 16 August 2019)]; Available online: https://icd.who.int/dev11/l-m/en#/http://id.who.int/icd/entity/960730313.
  • 87.Shaffer H.J. Understanding the means and objects of addiction: Technology, the internet, and gambling. J. Gambl. Stud. 1996;12:461–469. doi: 10.1007/BF01539189. [DOI] [PubMed] [Google Scholar]
  • 88.Shaffer H.J. Internet Gambling & Addiction. [(accessed on 9 August 2019)];2004 Available online: https://yourlifeiowa.org/sites/default/files/documents/shafferinternetgambling.pdf.
  • 89.Schüll N.D. Addiction by Design: Machine Gambling in Las Vegas. Princeton University Press; Princeton, NJ, USA: 2012. [Google Scholar]
  • 90.Markham F., Young M., Doran B. Gambling expenditure predicts harm: Evidence from a venue-level study. Addiction. 2014;109:1509–1516. doi: 10.1111/add.12595. [DOI] [PubMed] [Google Scholar]
  • 91.Dilley J.E., Nicholson E.R., Fischer S.M., Zimmer R., Froehlich J.C. Alcohol Drinking and Blood Alcohol Concentration Revisited. Alcohol Clin. Exp. Res. 2018;42:260–269. doi: 10.1111/acer.13549. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Gentry R.T. Effect of food on the pharmacokinetics of alcohol absorption. Alcohol Clin. Exp. Res. 2000;24:403–404. doi: 10.1111/j.1530-0277.2000.tb01996.x. [DOI] [PubMed] [Google Scholar]
  • 93.Ramchandani V.A., Kwo P.Y., Li T.K. Effect of food and food composition on alcohol elimination rates in healthy men and women. J. Clin. Pharmacol. 2001;41:1345–1350. doi: 10.1177/00912700122012814. [DOI] [PubMed] [Google Scholar]
  • 94.Cederbaum A.I. Alcohol metabolism. Clin. Liver Dis. 2012;16:667–685. doi: 10.1016/j.cld.2012.08.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Stanley T.H. The fentanyl story. J. Pain. 2014;15:1215–1226. doi: 10.1016/j.jpain.2014.08.010. [DOI] [PubMed] [Google Scholar]
  • 96.Volkow N.D., McLellan A.T. Opioid Abuse in Chronic Pain—Misconceptions and Mitigation Strategies. N. Engl. J. Med. 2016;374:1253–1263. doi: 10.1056/NEJMra1507771. [DOI] [PubMed] [Google Scholar]
  • 97.Romer Thomsen K., Callesen M.B., Feldstein Ewing S.W. Recommendation to reconsider examining cannabis subtypes together due to opposing effects on brain, cognition and behavior. Neurosci. Biobehav. Rev. 2017;80:156–158. doi: 10.1016/j.neubiorev.2017.05.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Abbott M., Binde P., Clark L., Hodgins D., Johnson M., Manitowabi D., Quilty L., Spångberg J., Volberg R., Walker D., et al. Conceptual Framework of Harmful Gambling: An International Collaboration. 3rd ed. Gambling Research Exchange Ontario (GREO); Guelph, ON, Canada: 2018. [Google Scholar]
  • 99.Vox America’s Unprecedented Move to Limit Nicotine in Cigarettes: The FDA’s Avant-Garde New Tobacco Policy, Explained. [(accessed on 20 August 2019)]; Available online: https://www.vox.com/policy-and-politics/2018/3/15/17124034/smoking-fda-nicotine-limits.
  • 100.U.S. Food & Drug Administration (FDA) FDA’s Comprehensive Plan for Tobacco and Nicotine Regulation. Silver Spring, MD: 2019. [(accessed on 20 August 2019)]; Available online: https://www.fda.gov/tobacco-products/ctp-newsroom/fdas-comprehensive-plan-tobacco-and-nicotine-regulation.
  • 101.Ontario Public Drug Programs Questions & Answers: Important Notice Regarding Changes to the Ontario Drug Benefit (ODB) Program Funding of Opioid Medications. [(accessed on 16 August 2019)];2016 Available online: http://www.health.gov.on.ca/en/pro/programs/ohip/bulletins/4000/bul4675_questionsandanswers.pdf.
  • 102.Investing in the Middle Class: Budget 2019. [(accessed on 16 August 2019)]; Available online: https://budget.gc.ca/2019/docs/plan/budget-2019-en.pdf.
  • 103.Gambling Commission Regulator Warns Gambling Industry not to Circumvent FOBT Stake Cut. [(accessed on 17 August 2019)];2019 Available online: https://www.gamblingcommission.gov.uk/news-action-and-statistics/News/regulator-warns-gambling-industry-not-to-circumvent-fobt-stake-cut.
  • 104.Zaridze D., Maximovitch D., Lazarev A., Igitov V., Boroda A., Boreham J., Boyle P., Peto R., Boffetta P. Alcohol poisoning is a main determinant of recent mortality trends in Russia: Evidence from a detailed analysis of mortality statistics and autopsies. Int. J. Epidemiol. 2009;38:143–153. doi: 10.1093/ije/dyn160. [DOI] [PubMed] [Google Scholar]
  • 105.Leonard J. Can you Overdose on Too Much Nicotine? Medical News Today. Oct 6, 2017.
  • 106.Hedegaard H., Minino A.M., Warner M. Drug Overdose Deaths in the United States, 1999–2017. NCHS Data Brief. 2018;329:1–8. [PubMed] [Google Scholar]
  • 107.Government of Canada National Report: Apparent Opioid-related Deaths in Canada. [(accessed on 20 August 2019)]; Available online: https://health-infobase.canada.ca/datalab/national-surveillance-opioid-mortality.html.
  • 108.Armstrong F., McCurdy M.T., Heavner M.S. Synthetic Cannabinoid-Associated Multiple Organ Failure: Case Series and Literature Review. Pharmacotherapy. 2019;39:508–513. doi: 10.1002/phar.2241. [DOI] [PubMed] [Google Scholar]
  • 109.World Health Organization . WHO Framework Convention on Tobacco Control. WHO; Geneva, Switzerland: 2003. [Google Scholar]
  • 110.World Health Organization Tobacco: Key Facts. [(accessed on 6 August 2019)];2019 Available online: https://www.who.int/news-room/fact-sheets/detail/tobacco.
  • 111.Williams R.J., Rehm J., Stevens R.M.G. The Social and Economic Impacts of Gambling. Final Report Prepared for the Canadian Consortium for Gambling Research. University of Lethbridge Research Repository; Lethbridge, AB, Canada: 2011. [Google Scholar]
  • 112.American Cancer Society What Do We Know About E-cigarettes? [(accessed on 10 August 2019)]; Available online: https://www.cancer.org/about-us/online-help/contact-us.html.
  • 113.Cohen K., Weinstein A.M. Synthetic and Non-synthetic Cannabinoid Drugs and Their Adverse Effects-A Review From Public Health Prospective. Front. Public Health. 2018;6:162. doi: 10.3389/fpubh.2018.00162. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Compton W.M., Volkow N.D. Abuse of prescription drugs and the risk of addiction. Drug Alcohol Depend. 2006;83:S4–S7. doi: 10.1016/j.drugalcdep.2005.10.020. [DOI] [PubMed] [Google Scholar]
  • 115.Martell B.A., O’Connor P.G., Kerns R.D., Becker W.C., Morales K.H., Kosten T.R., Fiellin D.A. Systematic review: Opioid treatment for chronic back pain: Prevalence, efficacy, and association with addiction. Ann. Intern. Med. 2007;146:116–127. doi: 10.7326/0003-4819-146-2-200701160-00006. [DOI] [PubMed] [Google Scholar]
  • 116.National Institute on Drug Abuse (NIDA) Opioid Overdose Crisis. [(accessed on 8 September 2019)];2019 Available online: https://www.drugabuse.gov/drugs-abuse/opioids/opioid-overdose-crisis.
  • 117.Freeman T.P., Winstock A.R. Examining the profile of high-potency cannabis and its association with severity of cannabis dependence. Psychol. Med. 2015;45:3181–3189. doi: 10.1017/S0033291715001178. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.National Institute on Drug Abuse (NIDA) Drug Facts: What Is Marijuana? [(accessed on 9 August 2019)];2019 Available online: https://www.drugabuse.gov/publications/drugfacts/marijuana.
  • 119.MacLaren V.V. Video Lottery is the Most Harmful Form of Gambling in Canada. J. Gambl. Stud. 2016;32:459–485. doi: 10.1007/s10899-015-9560-z. [DOI] [PubMed] [Google Scholar]
  • 120.Dowling N., Smith D., Thomas T. Electronic gaming machines: Are they the ‘crack-cocaine’ of gambling? Addiction. 2005;100:33–45. doi: 10.1111/j.1360-0443.2005.00962.x. [DOI] [PubMed] [Google Scholar]
  • 121.McNeill A., Brose L.S., Calder R., Bauld L., Robson D. Evidence Review of E-Cigarettes and Heated Tobacco Products 2018. A Report Commissioned by Public Health England. [(accessed on 8 September 2019)];2019 Available online: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/684963/Evidence_review_of_e-cigarettes_and_heated_tobacco_products_2018.pdf.
  • 122.Lachenmeier D.W., Anderson P., Rehm J. Heat-Not-Burn Tobacco Products: The Devil in Disguise or a Considerable Risk Reduction? Int. J. Alcohol Drug Res. 2018;7:8–11. doi: 10.7895/ijadr.250. [DOI] [Google Scholar]
  • 123.Centers for Disease Control and Prevention . How Tobacco Smoke Causes Disease: The Biology and Behavioral Basis for Smoking-Attributable Disease: A Report of the Surgeon General. Centers for Disease Control and Prevention; Atlanta, GA, USA: 2010. [PubMed] [Google Scholar]
  • 124.U.S. Department of Health and Human Services . The Health Consequences of Smoking—50 Years of Progress: A Report of the Surgeon General. U.S. Department of Health and Human Services; Atlanta, GA, USA: 2014. [Google Scholar]
  • 125.Baumung C., Rehm J., Franke H., Lachenmeier D.W. Comparative risk assessment of tobacco smoke constituents using the margin of exposure approach: The neglected contribution of nicotine. Sci. Rep. 2016;6:35577. doi: 10.1038/srep35577. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Mishra A., Chaturvedi P., Datta S., Sinukumar S., Joshi P., Garg A. Harmful effects of nicotine. Ind. J. Med. Paediatr. Oncol. 2015;36:24–31. doi: 10.4103/0971-5851.151771. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Emery M.A., Eitan S. Members of the same pharmacological family are not alike: Different opioids, different consequences, hope for the opioid crisis? Prog. Neuropsychopharmacol. Biol. Psychiatr. 2019;92:428–449. doi: 10.1016/j.pnpbp.2019.02.010. [DOI] [PubMed] [Google Scholar]
  • 128.National Institute on Drug Abuse (NIDA) Fentanyl and Other Synthetic Opioids Drug Overdose Deaths. [(accessed on 12 August 2019)];2019 Available online: https://www.drugabuse.gov/related-topics/trends-statistics/infographics/fentanyl-other-synthetic-opioids-drug-overdose-deaths.
  • 129.Prekupec M.P., Mansky P.A., Baumann M.H. Misuse of Novel Synthetic Opioids: A Deadly New Trend. J. Addict. Med. 2017;11:256–265. doi: 10.1097/ADM.0000000000000324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Imtiaz S., Shield K.D., Roerecke M., Cheng J., Popova S., Kurdyak P., Fischer B., Rehm J. The burden of disease attributable to cannabis use in Canada in 2012. Addiction. 2016;111:653–662. doi: 10.1111/add.13237. [DOI] [PubMed] [Google Scholar]
  • 131.Lachenmeier D.W., Rehm J. Comparative risk assessment of alcohol, tobacco, cannabis and other illicit drugs using the margin of exposure approach. Sci. Rep. 2015;5:8126. doi: 10.1038/srep08126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Livingstone C., Rintoul A., de Lacy-Vawdon C., Borland R., Dietze P., Jenkinson R., Livingston M., Room R., Smith B., Stoove M., et al. Identifying effective policy interventions to prevent gambling-related harm. Melbourne: Victorian Responsible Gambling Foundation: 2019. [(accessed on 21 August 2019)]; Available online: https://responsiblegambling.vic.gov.au/resources/publications/identifying-effective-policy-interventions-to-prevent-gambling-related-harm-640/
  • 133.Nutt D.J. Drugs-Without the Hot Air: Minimising the Harms of Legal and Illegal Drugs. UIT Cambridge; Cambridge, UK: 2012. [Google Scholar]
  • 134.Nutt D.J., King L.A., Phillips L.D. Independent Scientific Committee on D. Drug harms in the UK: A multicriteria decision analysis. Lancet. 2010;376:1558–1565. doi: 10.1016/S0140-6736(10)61462-6. [DOI] [PubMed] [Google Scholar]
  • 135.Gmel G., Kuntsche E., Rehm J. Risky single-occasion drinking: Bingeing is not bingeing. Addiction. 2011;106:1037–1045. doi: 10.1111/j.1360-0443.2010.03167.x. [DOI] [PubMed] [Google Scholar]
  • 136.Cao S., Yang C., Gan Y., Lu Z. The Health Effects of Passive Smoking: An Overview of Systematic Reviews Based on Observational Epidemiological Evidence. PLoS ONE. 2015;10:e0139907. doi: 10.1371/journal.pone.0139907. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Degenhardt L., Peacock A., Colledge S., Leung J., Grebely J., Vickerman P., Stone J., Cunningham E.B., Trickey A., Dumchev K., et al. Global prevalence of injecting drug use and sociodemographic characteristics and prevalence of HIV, HBV, and HCV in people who inject drugs: A multistage systematic review. Lancet Glob. Health. 2017;5:e1192–e1207. doi: 10.1016/S2214-109X(17)30375-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Elvik R. Risk of road accident associated with the use of drugs: A systematic review and meta-analysis of evidence from epidemiological studies. Accid. Anal. Prev. 2013;60:254–267. doi: 10.1016/j.aap.2012.06.017. [DOI] [PubMed] [Google Scholar]
  • 139.Rogeberg O., Elvik R. The effects of cannabis intoxication on motor vehicle collision revisited and revised. Addiction. 2016;111:1348–1359. doi: 10.1111/add.13347. [DOI] [PubMed] [Google Scholar]
  • 140.Room R. The dangerousness of drugs. Addiction. 2006;101:166–168. doi: 10.1111/j.1360-0443.2006.01315.x. [DOI] [PubMed] [Google Scholar]
  • 141.Room R. Social Policy and Psychoactive Substances. In: Nutt D., Robbins T.W., Stimson G.V., Ince M., Jackson A., editors. Drugs and the Future Burlington. Academic Press; Cambridge, MA, USA: 2007. [Google Scholar]
  • 142.Murray C.J., Lopez A.D. The utility of DALYs for public health policy and research: A reply. Bull. World Health Org. 1997;75:377–381. [PMC free article] [PubMed] [Google Scholar]
  • 143.Neufeld M., Wittchen H.U., Rehm J. Drinking patterns and harm of unrecorded alcohol in Russia: A qualitative interview study. Addiction Res. Theory. 2017;25:310–317. doi: 10.1080/16066359.2016.1274736. [DOI] [Google Scholar]
  • 144.Lachenmeier D.W., Rehm J., Gmel G. Surrogate alcohol: What do we know and where do we go? Alcohol Clin. Exp. Res. 2007;31:1613–1624. doi: 10.1111/j.1530-0277.2007.00474.x. [DOI] [PubMed] [Google Scholar]
  • 145.Rehm J., Kailasapillai S., Larsen E., Rehm M.X., Samokhvalov A.V., Shield K.D., Roerecke M., Lachenmeier D.W. A systematic review of the epidemiology of unrecorded alcohol consumption and the chemical composition of unrecorded alcohol. Addiction. 2014;109:880–893. doi: 10.1111/add.12498. [DOI] [PubMed] [Google Scholar]
  • 146.Compton W.M., Jones C.M., Baldwin G.T. Relationship between Nonmedical Prescription-Opioid Use and Heroin Use. N. Engl. J. Med. 2016;374:154–163. doi: 10.1056/NEJMra1508490. [DOI] [PubMed] [Google Scholar]
  • 147.Saloner B., McGinty E.E., Beletsky L., Bluthenthal R., Beyrer C., Botticelli M., Sherman S.G. A Public Health Strategy for the Opioid Crisis. Public Health Rep. 2018;133:24S–34S. doi: 10.1177/0033354918793627. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Kraus L., Seitz N.N., Shield K.D., Gmel G., Rehm J. Quantifying harms to others due to alcohol consumption in Germany: A register-based study. BMC Med. 2019;17:59. doi: 10.1186/s12916-019-1290-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Rolles S., Measham F. Questioning the method and utility of ranking drug harms in drug policy. Int. J. Drug Policy. 2011;22:243–246. doi: 10.1016/j.drugpo.2011.04.004. [DOI] [PubMed] [Google Scholar]
  • 150.Courtwright D. Dark Paradise: Opiate Addiction in America. Harvard University Press; Cambridge, MA, USA: 2001. [Google Scholar]
  • 151.Sullivan R.J., Hagen E.H. Passive vulnerability or active agency? An ecological and evolutionary perspective on human drug use. In: Anderson P., Rehm J., Room R., editors. The Impact of Addictive Substances and Behaviours on Inidvidual and Societal Well-Being. Oxford University Press; Oxford, UK: 2015. pp. 13–35. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials


Articles from International Journal of Environmental Research and Public Health are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES